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Enhanced Image Segmentation Method by spbhagyam789 is a document available to read on EtoBox.

This paper presents a novel image segmentation approach that enhances accuracy and efficiency by utilizing a modified U-Net architecture with advanced techniques such as residual connections, dilated convolutions, and attention mechanisms. The proposed method integrates a unique multi-scale feature fusion strategy and a bespoke loss function combining cross-entropy and structural similarity index measure (SSIM) losses, resulting in superior performance on benchmark datasets. Extensive experiments demonstrat

Author

spbhagyam789

Language

EN